Production Engineer � ML/Inspection

Applied Optoelectronics, Inc.; Sugar Land (TX); On-site; USD 70,000 - 100,000; Full time

Benefits offered by this job

Relocation package

Immigration sponsorships

Flexible health plans

Generous PTO

Job summary

Applied Optoelectronics, Inc. in Sugar Land, TX is seeking a Production Engineer – Machine Learning/Inspection to support new production line setups and equipment qualifications for mass production readiness. The role combines mechanical design with automation to enable smooth ramp-up.

The ideal candidate will have hands-on experience, strong problem-solving skills, and the ability to read mechanical drawings, with opportunities for international travel up to 10% and potential relocation support.

Qualifications

• Bachelor’s degree in Mechanical, Industrial, Manufacturing Engineering, or Computer Science.
• Strong problem-solving and analytical skills.
• Ability to read mechanical drawings and understand manufacturing processes.

Responsibilities

• Plan and execute production line setup, ensuring equipment readiness for pilot and mass production.
• Develop and maintain SOPs, Work Instructions, and training materials for production processes.
• Support inspection model training and maintain the inspection accuracy to meet our quality policy.
• Perform and document FAT/SAT (Site Acceptance Test) for new or transferred equipment.
• Collaborate with R&D teams to integrate new processes for new products and implement to production lines.
• Support floor layout design and process flow optimization to improve efficiency and safety.
• Provide feedback to mechanical design colleagues on existing projects or design new systems with mechanical related issues.
• Troubleshoot mechanical, process, or equipment-related issues and drive root‑cause corrective actions ensuring the yield stability and improvement.
• Support equipment commissioning, maintenance, and calibration activities.
• 5 ~ 10% international travel is expected for supplier visits, equipment qualification, or line setup.
• Overtime may be required during ramp‑up or line setup activities.

Skills

Problem solving

Analytical skills

Read mechanical drawings

Education

Bachelor’s degree in Mechanical, Industrial, Manufacturing Engineering, or Computer Science

Tools

LabVIEW

NVIDIA software environments

PLC programming

Job description

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We are seeking a Production Engineer – Machine Learning/Inspection to support new production line setups and equipment qualifications to maintain the production line quality. In this role, you will work on configuring, testing, and validating automated machinery and processes to ensure smooth ramp-up and readiness for mass production. The ideal candidate is hands‑on, detail‑oriented, and passionate about combining mechanical design with automation solutions.

Job Duties

• Plan and execute production line setup, ensuring equipment readiness for pilot and mass production.
• Develop and maintain SOPs, Work Instructions, and training materials for production processes.
• Support inspection model training and maintain the inspection accuracy to meet our quality policy
• Perform and document FAT/SAT (Site Acceptance Test) for new or transferred equipment.
• Collaborate with R&D teams to integrate new processes for new products and implement to production lines.
• Support floor layout design and process flow optimization to improve efficiency and safety.
• Provide feedback to mechanical design colleagues on existing projects or design new systems with mechanical related issues.
• Troubleshoot mechanical, process, or equipment-related issues and drive root‑cause corrective actions ensuring the yield stability and improvement.
• Support equipment commissioning, maintenance, and calibration activities.
• 5 ~ 10% international travel is expected for supplier visits, equipment qualification, or line setup.
• Overtime may be required during ramp‑up or line setup activities.

Qualifications

Required

• Bachelor’s degree in Mechanical, Industrial, Manufacturing Engineering, or Computer Science
• 0‑2 years in manufacturing, process, or automation engineering
• Strong problem‑solving and analytical skills
• Ability to read mechanical drawings and understand manufacturing processes

Preferred

• Bilingual in Chinese (Mandarin) is a plus
• Experience with LabVIEW or Nvidia software environments.
• Knowledge of PLC programming or industrial automation controls.
• Understanding of Lean Manufacturing and process validation concepts (Cpk, GR&R).
• Knowledge about transceivers or optical module assembly/testing

Location

This position will be on‑site based in Sugar Land, Texas.

Why AOI?

In addition to competitive salary, AOI offers

• Flexible and competitive health (medical, dental, vision) plans offer the employee with the right options to meet individual and family needs
• Employer matching on 401(k) deferrals
• Generous PTO policy, with unused PTO payout at end of the year
• Relocation package available within US
• Immigration sponsorships (Must be currently authorized to work in the US)